Mort's Report — Sports Data Analytics
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Week 2 · Sun, 1:00 PM EDT · CBS

New Orleans Saints at Baltimore Ravens

M&T Bank Stadium, Baltimore, MD

New Orleans Saints
Saints
NO
6-11 · #14
53%
BAL to win
BAL -1.0 · Coin flip
Baltimore Ravens
Ravens
BAL
8-9 · #10

Market line for comparison: BAL -7.5 · O/U 47.5 (DraftKings). The model never sees this.

Rating inputs

Each starting rating is a weighted blend of five real football inputs, not just wins and losses. Every term below is measured from the 2025 season.

New Orleans Saints

InputRatingWeightContribution
Elo from results
6-11 in 2025, opponent-adjusted
151280%1209.4
Scoring strength
306–383 points (-77.0 differential) → 37.0% expected win rate
14085%70.4
Late-season form
same replay with the closing 6 weeks counted double
155215%232.8
Offense / defense split
18.0 PPG scored, 22.5 allowed → offense 1375, defense 1512
13870%0.0
Blended 2025 rating1512.6
Offseason regression
25% back toward the 1500 league mean
1509.4
Roster / QB adjustment
No offseason adjustment applied.
0.0
NO 2026 starting rating1509

Baltimore Ravens

InputRatingWeightContribution
Elo from results
8-9 in 2025, opponent-adjusted
152380%1218.8
Scoring strength
424–398 points (+26.0 differential) → 53.7% expected win rate
15265%76.3
Late-season form
same replay with the closing 6 weeks counted double
153315%229.9
Offense / defense split
24.9 PPG scored, 23.4 allowed → offense 1548, defense 1490
15380%0.0
Blended 2025 rating1525.0
Offseason regression
25% back toward the 1500 league mean
1518.7
Roster / QB adjustment
No offseason adjustment applied.
0.0
BAL 2026 starting rating1519

The calculation

Every term the model applies, in order, from both teams' starting ratings to the number on the card.

Baltimore Ravens base rating
1548.7
2026 starting Elo, after offseason regression
New Orleans Saints base rating
− 1500.1
2026 starting Elo, after offseason regression
Rating edge (home perspective)
+48.6
BAL is the better-rated side on neutral ground
Home-field advantage
+25.0
Flat 25 points for every host
Rest differential
+0.0
Both teams open the season equally rested
Analyst override
+0.0
No manual adjustment on this game
Injury adjustment
−51.8
BAL is the more banged-up side — see the injury breakdown below
Adjusted Elo difference
+21.8

Win probability

1 / (1 + 10−(21.8 / 400))

53.1% BAL

Model spread

21.8 ÷ 25, rounded to the nearest half point

BAL -1.0

Confidence band

Coin flip · under 55%Lean · 55–65%Confident · 65–75%Strong · 75% and up

Injury adjustment

Report pulled 2026-10-27 13:20 UTC

Ratings describe a team over a whole season. Who is actually available on Sunday is a separate question, so the injury adjustment is applied last, after home field and rest. Each listed player costs a share of a point of spread based on his position, whether he starts, and how likely he is to play.

Before injuries

60.4%

BAL by 3.0

Injury term

−51.8 Elo

−2.1 pts of spread, home perspective

After injuries

53.1%

BAL by 1.0 · moved 7.3 pts of probability

New Orleans Saints

−0.2 pts

  • Jordyn Tyson WROut−0.10
  • Nathan Shepherd DTQuestionable−0.03
  • Cesar Ruiz GQuestionable−0.03
  • Justin Reid SQuestionable−0.03

Baltimore Ravens

−0.5 pts

  • Jaylinn Hawkins SOut−0.10
  • Broderick Washington Jr. DTOut−0.10
  • T.J. Tampa CBOut−0.10
  • Tavius Robinson LBOut−0.10

Statuses come straight from the league injury report: out and injured reserve count in full, doubtful three quarters, questionable roughly a third, probable a tenth. Starters are identified from the depth chart; anyone the model cannot place is treated as a backup.

Move the factors yourself

Every term feeds one number: the adjusted Elo difference. Drag any of them and watch the spread and confidence follow.

1549

Drag to see how much a stronger or weaker host changes the call.

1500

The two ratings only matter through their difference.

+25 pts

The tuned value is a flat 25 points for every host.

+0 pts

5 Elo per extra day of rest, capped at 25 either way.

+0 pts

A manual thumb on the scale, in the home team's direction.

Win probability

60.4% BAL

Model value

Model spread

BAL -3.0

Elo diff +73.6 · Lean

Probability curve

The logistic curve from −600 to +600 Elo, home perspective. The dot is your current setting; the faint vertical line is where the model itself sits. Notice the curve is flattest at the extremes — near a coin flip, every point of Elo moves the number most.

Where the ratings came from

Each rating is the end state of a full 2025 season of Elo updates, regressed toward the league mean for the new season.

New Orleans Saints
New Orleans Saints
#14 of 32 · 6-11 in 2025
2025 final rating
1511.8
Regress 25% toward 1500
−2.4
2026 starting rating
1509.4

2025 Elo trail

Biggest swings

  • W 17–7 at CAR+48.3
  • L 10–24 vs ATL−45.0
  • W 26–14 vs NYG+37.6
Baltimore Ravens
Baltimore Ravens
#10 of 32 · 8-9 in 2025
2025 final rating
1523.5
Regress 25% toward 1500
−4.8
2026 starting rating
1518.7

2025 Elo trail

Biggest swings

  • L 14–32 vs CIN−67.5
  • W 30–16 vs CHI+49.8
  • L 10–44 vs HOU−49.0

Matchup factors

Everything beyond the two base ratings that moved this specific number.

Home field

+25.0 pts

worth 3.6 points of win probability

BAL hosts at M&T Bank Stadium. Every host gets the same flat 25 points — the model does not rate crowds individually.

Rest

+0.0 pts

Both teams come in on equal rest, so there is no rest edge to give.

Analyst override

+0.0 pts

No manual adjustment. The number here is pure model output.

2025 head to head

These teams did not meet in 2025. Past meetings carry no weight in the model anyway — they are already baked into each team's rating.

Strength of schedule

Who each team actually played in 2025, measured by their opponents' current ratings. This is context for reading the ratings — it is not an input to the prediction above, because beating good teams already raises a team's Elo more.

New Orleans Saints

1496

average opponent rating · 21st toughest of 32

vs above-average teams
0-8
vs below-average teams
6-3
Baltimore Ravens

1506

average opponent rating · 11th toughest of 32

vs above-average teams
2-6
vs below-average teams
6-3

What the model does not know

  • · How an injury actually plays out — the adjustment above prices availability, not how well a replacement performs.
  • · Coaching and roster turnover between seasons.
  • · Weather, travel distance and short-week fatigue beyond raw rest days.
  • · Anything a betting market has priced in since the season ended.
Read the full methodology →